Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks

Murat Yildizoglu

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Abstract: In this methodological work I explore the possibility of explicitly modelling expectations conditioning the R&D decisions of firms. In order to isolate this problem from the controversies of cognitive science, I propose a black box strategy through the concept of "internal model". The last part of the article uses artificial neural networks to model the expectations of firms in a model of industry dynamics based on Nelson & Winter (1982).

Keywords: bounded rationality; learning; expectations; innovation dynamics; Neural networks; genetic algorithms (search for similar items in EconPapers)
Date: 2001
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Citations: View citations in EconPapers (8)

Published in European Journal of Economic and Social Systems, 2001, 15, pp.203-220. ⟨10.1051/ejess:2001105⟩

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Related works:
Working Paper: Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks (2002)
Working Paper: Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks (2002)
Working Paper: Connecting adaptive behaviour and expectations in models of innovation: The Potential Role of Artificial Neural Networks (2002)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00125106

DOI: 10.1051/ejess:2001105

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